JSTOR Daily

Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective

Selecting a subset of variables for linear models remains an active area of research. This article reviews many of the recent contributions to the Bayesian model selection and shrinkage prior ...
Business Wire

'Linear Models in Statistics 2nd Edition' is the Essential Introduction to the Theory and Application of Linear Models

DUBLIN, Ireland--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/reports/c81986) has announced the addition of “Linear Models in Statistics ...
JSTOR Daily

Bayesian Variable Selection for High Dimensional Generalized Linear Models: Convergence Rates of the Fitted Densities

Bayesian variable selection has gained much empirical success recently in a variety of applications when the number K of explanatory variables $(x_{1},\ldots ,x_{K})$ is possibly much larger than the ...
lse

Bayesian Machine Learning

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Health Data Science, MSc in Quantitative Methods for ...